2018
DOI: 10.1016/j.applthermaleng.2018.07.022
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Dynamic modelling and energy performance analysis of an innovative dual-source heat pump system

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Cited by 57 publications
(21 citation statements)
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“…Currently, the number of implementations of hybrid systems [28][29][30] and cascade solutions [31,32] is increasing. Grossi et al [33] conducted energy efficiency tests of a Dual-Source Heat Pump system (DSHP) capable of using heat energy from air and soil. Simulation tests show that it is possible to reduce investment costs by reducing the DSHP well area by 15-50% compared to a conventional solution.…”
Section: Introductionmentioning
confidence: 99%
“…Currently, the number of implementations of hybrid systems [28][29][30] and cascade solutions [31,32] is increasing. Grossi et al [33] conducted energy efficiency tests of a Dual-Source Heat Pump system (DSHP) capable of using heat energy from air and soil. Simulation tests show that it is possible to reduce investment costs by reducing the DSHP well area by 15-50% compared to a conventional solution.…”
Section: Introductionmentioning
confidence: 99%
“…Results provided by several studies [15,16] showed that a proper mixture of PCM and soil as grouting material of the GHE was able to smooth the thermal wave generated by the heat pump on the ground, and to enhance its coefficient of performance (COP). Some authors [17,18] have pointed out that, in hybrid systems such as dual source heat pumps (DSHPs), which change between ground and air as heat sources, the use of an air heat exchanger allows a further reduction of the GHE size, lowering the total cost of the GCHP system. Furthermore, DSHPs can be optimised by switching to the more favourable source/sink between the air and ground according to their temperature, achieving higher efficiencies in comparison with ASHPs and GCHPs [19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…When the borehole heat exchangers coupled to the GSHP have to be sized, the overall energy demand of the building and the energy profiles for both heating and cooling conditions are the primary input data. There are different methodologies to design a GSHP: (a) The analytical models (e.g., the infinite line or cylindrical source model) [10][11][12], (b) the method based on the g-functions [13][14][15], and (c) numerical models (e.g., [16][17][18]). Depending on the methodology used, the heating/cooling energy demand of the building has to be provided by the following data:…”
Section: Introductionmentioning
confidence: 99%